Literature DB >> 23000405

An inexpensive Arduino-based LED stimulator system for vision research.

Petteri Teikari1, Raymond P Najjar, Hemi Malkki, Kenneth Knoblauch, Dominique Dumortier, Claude Gronfier, Howard M Cooper.   

Abstract

Light emitting diodes (LEDs) are being used increasingly as light sources in life sciences applications such as in vision research, fluorescence microscopy and in brain-computer interfacing. Here we present an inexpensive but effective visual stimulator based on light emitting diodes (LEDs) and open-source Arduino microcontroller prototyping platform. The main design goal of our system was to use off-the-shelf and open-source components as much as possible, and to reduce design complexity allowing use of the system to end-users without advanced electronics skills. The main core of the system is a USB-connected Arduino microcontroller platform designed initially with a specific emphasis on the ease-of-use creating interactive physical computing environments. The pulse-width modulation (PWM) signal of Arduino was used to drive LEDs allowing linear light intensity control. The visual stimulator was demonstrated in applications such as murine pupillometry, rodent models for cognitive research, and heterochromatic flicker photometry in human psychophysics. These examples illustrate some of the possible applications that can be easily implemented and that are advantageous for students, educational purposes and universities with limited resources. The LED stimulator system was developed as an open-source project. Software interface was developed using Python with simplified examples provided for Matlab and LabVIEW. Source code and hardware information are distributed under the GNU General Public Licence (GPL, version 3).
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23000405     DOI: 10.1016/j.jneumeth.2012.09.012

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  21 in total

1.  MATLAB-based automated patch-clamp system for awake behaving mice.

Authors:  Niraj S Desai; Jennifer J Siegel; William Taylor; Raymond A Chitwood; Daniel Johnston
Journal:  J Neurophysiol       Date:  2015-06-17       Impact factor: 2.714

2.  A five-primary photostimulator suitable for studying intrinsically photosensitive retinal ganglion cell functions in humans.

Authors:  Dingcai Cao; Nathaniel Nicandro; Pablo A Barrionuevo
Journal:  J Vis       Date:  2015-01-26       Impact factor: 2.240

3.  Wireless recording from unrestrained monkeys reveals motor goal encoding beyond immediate reach in frontoparietal cortex.

Authors:  Michael Berger; Naubahar Shahryar Agha; Alexander Gail
Journal:  Elife       Date:  2020-05-04       Impact factor: 8.140

4.  Vibrotactile piezoelectric stimulation system with precise and versatile timing control for somatosensory research.

Authors:  Limin Sun; Yoshio Okada
Journal:  J Neurosci Methods       Date:  2019-02-07       Impact factor: 2.390

5.  Arduino Due based tool to facilitate in vivo two-photon excitation microscopy.

Authors:  Pietro Artoni; Silvia Landi; Sebastian Sulis Sato; Stefano Luin; Gian Michele Ratto
Journal:  Biomed Opt Express       Date:  2016-03-30       Impact factor: 3.732

6.  Optimization of circadian responses with shorter and shorter millisecond flashes.

Authors:  Sevag Kaladchibachi; David C Negelspach; Jamie M Zeitzer; Fabian Fernandez
Journal:  Biol Lett       Date:  2019-08-07       Impact factor: 3.703

7.  An Open Source Platform for Presenting Dynamic Visual Stimuli.

Authors:  Kyra Swanson; Samantha R White; Michael W Preston; Joshua Wilson; Meagan Mitchell; Mark Laubach
Journal:  eNeuro       Date:  2021-06-11

8.  Open-source 3D-printable optics equipment.

Authors:  Chenlong Zhang; Nicholas C Anzalone; Rodrigo P Faria; Joshua M Pearce
Journal:  PLoS One       Date:  2013-03-27       Impact factor: 3.240

9.  Open-Source Photometric System for Enzymatic Nitrate Quantification.

Authors:  B T Wittbrodt; D A Squires; J Walbeck; E Campbell; W H Campbell; J M Pearce
Journal:  PLoS One       Date:  2015-08-05       Impact factor: 3.240

10.  A low-cost real color picker based on Arduino.

Authors:  Juan Enrique Agudo; Pedro J Pardo; Héctor Sánchez; Ángel Luis Pérez; María Isabel Suero
Journal:  Sensors (Basel)       Date:  2014-07-07       Impact factor: 3.576

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